The design of neural network structures greatly influences efficiency of signal modelling and ease of extraction of hidden patterns. Convolutional neural networks (CNNs) for image recognition, for example, align perfectly with biological studies of the visual cortex [1]} and with domain knowledge in digital image processing [2]}. We thus ask a fundamental question: what structures are well-suited for the domain of physical sensor measurements, which we henceforth call the domain of IoT?
